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cnn_multilabel_classification
cnn_multilabel_classification PublicMultilabel classification based on TextCNN and Attention
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rnn-text-classification
rnn-text-classification PublicA text classification model based on RNN(recurrent neural network)
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e2e-coref-old
e2e-coref-old Publicene to end neural coreference resolution(forked from https://github.com/kentonl/e2e-coref and make some little change)
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transfer-learning-with-lstm-rnn
transfer-learning-with-lstm-rnn PublicTransfer learning for text classification with recurrent neural network(lstm)
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multi-class-text-classification-cnn-rnn
multi-class-text-classification-cnn-rnn PublicForked from jiegzhan/multi-class-text-classification-cnn-rnn
Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
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MachineTranslation_t2t
MachineTranslation_t2t Publicmachine translation based on tensor2tensor
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